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         Parallel Computing:     more books (100)
  1. Spatially Structured Evolutionary Algorithms: Artificial Evolution in Space and Time (Natural Computing Series) by Marco Tomassini, 2010-11-30
  2. Massively Parallel, Optical, and Neural Computing in Japan, (German National Research Center for Computer Scie)
  3. Applied Parallel Computing. Large Scale Scientific and Industrial Problems: 4th International Workshop, PARA'98, Umea, Sweden, June 14-17, 1998, Proceedings ... Notes in Computer Science) (v. 1541)
  4. Massively Parallel, Optical, and Neural Computing in the United States, by Robert Moxley, Gilbert Kalb, 1992-01-01
  5. Concurrent and Parallel Computing: Theory, Implementation and Applications
  6. Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/CRC Computer & Information Science Series)
  7. Tools and Environments for Parallel and Distributed Computing (Wiley Series on Parallel and Distributed Computing)
  8. Handbook of Sensor Networks: Algorithms and Architectures (Wiley Series on Parallel and Distributed Computing)
  9. Parallel Computing: Principles and Practice by T. J. Fountain, 2006-11-23
  10. Introduction to Parallel Computing by Ted G. Lewis, Hesham El-Rewini, 1992-01
  11. Parallel Algorithms and Cluster Computing: Implementations, Algorithms and Applications (Lecture Notes in Computational Science and Engineering)
  12. Grid Computing: The New Frontier of High Performance Computing, Volume 14 (Advances in Parallel Computing)
  13. Parallel I/O for High Performance Computing by John M. May, 2000-10-23
  14. Parallel, Distributed and Grid Computing for Engineering (Computational Science, Engineering & Tec)

81. COMP 422 Parallel Computing: Home Page
Home page for COMP 422, Parallel Computing COMP 422 Parallel Computing Spring 2010 John MellorCrummey, Department of Computer Science, Rice University
http://www.clear.rice.edu/comp422/

82. Parallel Computing Tutorial
of a tutorial about converting serial programs to parallel programs.......
http://www.eecs.umich.edu/~qstout/tut/index.html
Parallel Computing 101
Quentin F. Stout
Christiane Jablonowski

Parallel computers are easy to build it's the software that takes work. See us at Supercomputing SC10 , in New Orleans.
Our tutorial is on Sunday, November 14.
Abstract
This tutorial provides a comprehensive overview of parallel computing, emphasizing those aspects most relevant to the user. It is suitable for new or prospective users, managers, students, and anyone seeking a general overview of parallel computing. It discusses software and hardware, with an emphasis on standards, portability, and systems that are commercially or freely available. Systems examined include clusters and tightly integrated supercomputers. The tutorial provides training in parallel computing concepts and terminology, and uses examples selected from large-scale engineering, scientific, and data intensive applications. These real-world examples are targeted at distributed memory systems using MPI, shared memory systems using OpenMP, and hybrid systems that combine the MPI and OpenMP programming paradigms. The tutorial shows basic parallelization approaches and discusses some of the software engineering aspects of the parallelization process, including the use of state-of-the-art tools. The tools introduced range from parallel debugging tools to performance analysis and tuning packages. We use large-scale projects as examples to help the attendees understand the issues involved in developing efficient parallel programs. Examples include: crash simulation (a complex distributed memory application parallelized for Ford Motor); climate modeling (an application highlighting distributed, shared, and vector computing ideas with examples from NCAR, NASA and ECMWF); space weather prediction (an adaptive mesh code scaling to well over 1000 processors, funded by NASA/DoD/NSF); and design of ethical clinical trials (a memory-intensive application funded by NSF). Attendees find the lessons convincing, and occasionally humourous, because we discuss mistakes as well as successes.

83. MSL: Mobile Systems Laboratory - UCLA
Projects, research, papers, and free parallel simulation languages.
http://pcl.cs.ucla.edu/
About MSL The Mobile Systems Laboratory is engaged in the design, development, and evaluation of mobile networks, such as sensor networks, MANETs, and VANETs. Under the direction of Professor Rajive Bagrodia , the students in the lab are currently researching:
  • Designing hybrid wireless testbed environments Performance evaluation of high performance computing systems Modeling and simulation of mobile computing environments Protocol development and deployment for large-scale heterogeneous networks Design of hybrid networking environments composed of operational systems and real time simulation models Developing new environmental and node mobility detection protocols
For more up-to-date information, please see the lab's publications
Laboratory Facilities
The laboratory, located in Boelter Hall 3809, is comprised of a heterogeneous computing environment which includes multiple workstation, PCs, laptop computers, and multiprocessor machines. The lab was previously focused on parallel computing research and, thus, contains numerous parallel computing systems and setups.
Department Resources
The Computer Science Department provides a number of shared computing resources for research and instructional activities, including networking, disk storage and backup, access to multi-user systems, email, printing, and workstation support. There is also a dedicated computing lab for graduate students. The total computing resources of the Department are much greater than this central core as many research groups have machines not listed here but connected to the departmental LAN.

84. EPEE
An object oriented design framework for programming distributed memory parallel computers. Publications bibliography.
http://www.irisa.fr/pampa/EPEE/epee.html
The Eiffel Parallel Execution Environment
EPEE (Eiffel Parallel Execution Environment) is an object oriented design framework for programming distributed memory parallel computers, developed within the PAMPA Project . It proposes a programming environment where data and control parallelism are totally encapsulated in regular Eiffel classes, without any extension to the language nor modification of its semantics.
EPEE has been used to build Paladin , a parallel object oriented linear algebra library.
EPEE Basic Principles
Paladin
POM Library
Object-Oriented Software Engineering with Eiffel ...
Why Eiffel?
jezequel@irisa.fr (March 28, 1995)

85. The Landscape Of Parallel Computing Research A View From Berkeley
Nov 17, 2008 To provide an effective parallel computing roadmap quickly so that industry can safely place its bets, we encourage researchers to use
http://view.eecs.berkeley.edu/

86. EPCC » Welcome To EPCC
EPCC unparalleled computing. You are here Home / Welcome to EPCC XMLDiff XML Scientific Comparison Tool; SPRINT (Simple Parallel R INTerface)
http://www.epcc.ed.ac.uk/

87. IPCA : Parallel : Environments : Pvm3
Archive of PVM-related tools and documentation.
http://wotug.kent.ac.uk/parallel/environments/pvm3/
Internet Parallel Computing Archive
Parallel Environments
News ...

88. Parallel Computing | Facebook
Welcome to the Facebook Community Page about Parallel computing, a collection of shared knowledge concerning Parallel computing.
http://www.facebook.com/pages/Parallel-computing/103750929663292
Parallel computing 235 people like this.
to connect with
Wall Info Fan Photos Parallel computing + Others Parallel computing Just Others Parallel computing joined Facebook. March 26 at 11:00pm See More Posts English (US) Español More… Download a Facebook bookmark for your phone.
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89. Parallel@Illinois - Parallel Computing Research And Education
Are you ready for the manycore future? It's only natural Illinois would help define the landscape of multicore processors. After all, parallel computing is in our blood.
http://www.parallel.illinois.edu/

90. XRDS: Crossroads, The ACM Magazine For Students
Article about choosing hardware and configuring a Beowulf.
http://www.acm.org/crossroads/xrds6-1/parallel.html
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Crossroads The ACM Magazine for Students Subscribe ... Puzzle Solutions Search Search
Read the current issue
About Read Now Read the latest issue of XRDS:
Featured Event
MORE EVENTS ACM EVENTS 2010 ACM Award Nominations: Deadlines are fast approaching for the annual ACM Awards. Each year, ACM recognizes technical and professional achievements within the computing and information technology community through its celebrated Awards Program. Many awards have November 30, 2010 nomination deadlines, but some are as soon as September 30
Get Involved
Learn More Contact Us XRDS is a magazine for students, largely run by students. There are a number of ways to join and participate, from submitting an article or photo, to becoming an editor, to sending us news about what's happening with your ACM university chapter. About XRDS About the Editors Renew Membership Subscribe ... Advertise $("div.ad:contains('iframe')").css("background-color", "#e0e0e0");

91. Built-in Parallel Computing: New In Mathematica 7
Mathematica 7 is automatically set up for instant parallel computing on any multicore computer system.
http://www.wolfram.com/products/mathematica/newin7/content/BuiltInParallelComput
PRODUCTS Mathematica
Mathematica Home Edition

Mathematica for Students
... Mathematica
Built-in Parallel Computing
Mathematica 7 adds the capability for instant parallel computing. On any multicore computer system, Mathematica Mathematica Mathematica 's parallel infrastructure is set up to allow seamless scaling to networks, clusters, grids and clouds.

92. The Beowulf HOWTO
of the Beowulf architecture and introduction to parallel computing.......
http://en.tldp.org/HOWTO/Beowulf-HOWTO/
The Beowulf HOWTO
Kurt Swendson
lam32767@lycos.com
Revision History Revision 1.0 first official release Revision 0.9 Revised by: 01 initial revision This document describes step by step instructions on building a Beowulf cluster. This is a Red Hat and LAM specific version of this document.
Table of Contents Introduction
Credits / Contributors Feedback
Definitions ...
Next Introduction

93. Amazon Web Services Blog: Parallel Computing With MATLAB On Amazon EC2
Nov 17, 2008 Mathworks released a whitepaper on how to run MATLAB parallel computing products Parallel Computing Toolbox and MATLAB Distributed
http://aws.typepad.com/aws/2008/11/parallel-comput.html
Amazon Web Services Blog
Amazon Web Services, Products, Tools, and Developer Information...
Recent Posts
Recent Comments
Main
Parallel Computing With MATLAB On Amazon EC2
Mathworks released a whitepaper on how to run MATLAB parallel computing products - Parallel Computing Toolbox and MATLAB Distributed Computing Server on Amazon EC2. This step by step guide walks you through the steps of installation, configuration and setting up clustered environments using these licensed products from MathWorks on Amazon EC2. It shows how you can create an AMI with MATLAB products bundled in and run them in the cloud.

94. IEEE Transactions On Parallel And Distributed Systems
Monthly peer-reviewed journal. Archives available to subscribers.
http://computer.org/tpds/
The world's leading membership organization for computing professionals Home About Help Browse By Topic ... Login Search Searching... Advanced
IEEE Transactions on Parallel and Distributed Systems (TPDS) is a scholarly archival journal published monthly. Parallelism and distributed computing are foundational research and technology to rapidly advance computer systems and their applications. Read more about TPDS
From the December 2010 Issue...
A Direct Coherence Protocol for Many-Core Chip Multiprocessors
Future many-core CMP designs that will integrate tens of processor cores on-chip will be constrained by area and power. Area constraints make impractical the use of a bus or a crossbar as the on-chip interconnection network, and tiled CMPs organized around a direct interconnection network will probably be the architecture of choice. Power constraints make impractical to rely on broadcasts (as, for example, Token-CMP does) or any other brute-force method for keeping cache coherence, and directory-based cache coherence protocols are currently being employed. Unfortunately, directory protocols introduce indirection to access directory information, which negatively impacts performance... View the PDF of this article View this issue in the digital library
Editorials and Announcements

95. HOISe
News on high performance computing from Europe. Newsletters and conference calendar.
http://www.hoise.com/
Wait a few seconds to go to the homepage of Virtual Medical Worlds magazine (VMW) If this does not happen automatically, please click here

96. Paralell Computing
A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up
http://www.personal.kent.edu/~rmuhamma/Parallel/parallel.html

" A scientific truth does not triumph by convincing its opponents and making them see the light, but rather because its opponents eventually die and a new generation grows up that is familiar with it ." - Maxwell Planck
Algorithms Compilers Computational Geometry Computer Architecture ... Operating Systems
Parallel Algorithms Notes
Parallel and Distributed Algorithms
Parallel Computing Links

97. LYDIAN: An Extensible Educational AnimationEnvironment For Learning Distributed
A simulation and visualization environment for distributed algorithms.
http://www.cs.chalmers.se/~lydian/
One area in which visualization techniques may be applied to enhance understanding of computer systems is the field of distributed algorithms. Lydian is a simulation and visualization environment for distributed algorithms that provides to the students an experimental environment to test and visualize the behaviour of distributed algorithms. It gives to the students the ability to create easily their own experiments and visualize the behaviour of the algorithms on their experiments. Lydian is easy to use and can also be extended. Last modified: Thu May 26 15:19:59 CEST 2005

98. Workshops On Languages And Compilers For Parallel Computing (LCPC)
This is the permanent home page for the Languages and Compilers for Parallel Computing (LCPC) workshop series. Since 1988, these workshops have annually
http://www.lcpcworkshop.org/
Workshops on
Languages and Compilers
for Parallel Computing The next workshop is: LCPC 2010 October 7-9, 2010, Rice University
This is the permanent home page for the Languages and Compilers for Parallel Computing (LCPC) workshop series. Since 1988, these workshops have annually brought together leading researchers in the field to discuss current research and future directions.
Home Pages for LCPC Workshops by year
  • LCPC 2010 October 7-9, 2010, Rice University
  • LCPC 2009 October 8-10, 2009, University of Delaware
  • LCPC 2008 July 31 - August 2, 2008, University of Alberta
  • LCPC 2007 October 11-13, 2007, Urbana, Illinois
    (returning to the University of Illinois at Urbana-Champaign for the 20th meeting)
  • LCPC 2006 November 2-4, 2006, New Orleans, Louisiana
  • LCPC '05 site mirror ): October 20-22, 2005, Hawthorne, New York
    (Rescheduled from New Orleans, Louisiana due to Hurricane Katrina; was hosted by IBM Research)
  • LCPC '04 : September 22-25, 2004, West Lafayette, Indiana
    (hosted by Purdue University)
  • LCPC '03 : October 2-4, 2003, College Station, Texas
  • LCPC '02 : July 25-27, 2002 at the University of Maryland, College Park, MD

99. The ANTS Load Balancing System
Source code and documentation.
http://unthought.net/antsd/
The ANTS Load Balancing System
Current version: 0.5.3 - October 20th, 2004
What ?
The ANTS Load Balancing System is a piece of software that will allow jobs to be executed on computers connected in a network (eg. a Beowulf). The node best suited (at the time of execution) for the job given, will be chosen to execute the job.
This is an approach different from that of traditional Queue systems. A job is not queued, it is executed immediately if any suitable host (for the given job type) can be found. This makes the system suitable for execution of a large number of small jobs, such as compilers. A traditional queue system will often take up too much time managing it's queues, to allow tasks such as large-scale compilations to gain much speedup using it.
How and Where ?
While I originally built this software in my spare time, it was built for and is further maintained by my employer, Evalesco Systems ApS , the maker of the SysOrb Monitoring System The software is distributed under the terms GNU Public License. Get the software here: antsd-0.5.3.tar.gz

100. Free Online Parallel Computing Books :: FreeTechBooks.com
Parallel Computing The simultaneous execution of the same task (split up and specially adapted) on multiple processors in order to obtain results faster.
http://www.freetechbooks.com/parallel-computing-f60.html
FreeTechBooks.com
Free Online Computer Science and Programming Books, Textbooks, and Lecture Notes Register FAQ Search Memberlist ...
Parallel Computing
Topics Views Advertisements Designing and Building Parallel Programs
Provides a practitioner's guide for students, programmers, engineers, and scientists who wish to design and build efficient and cost-effective programs for parallel and distributed computer systems.
High Performance Computing For Dummies, Sun and AMD Special Edition

This book shares details on real-world uses of HPC, explains the different types of HPC, guides you on how to choose between different suppliers, and provides benchmarks and guidelines you can use to get your system up and running.
How To Write Parallel Programs - A First Course

The raw material for a hands-on, "workshop" type course for undergraduates or graduate students in parallel programming.
Introduction To High-Performance Scientific Computing

This book brings together in a unified manner topics that are indispensible for scientists engaging in largescale computations.
MPI: The Complete Reference
Covers the Message Passing Interface (MPI), an important and popular standarized and portable message passing system that brings the potential development of practical and cost-effective large-scale parallel applications.

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